browser-use

What This Skill Does

The browser-use skill is a high-performance, AI-driven automation agent designed to navigate the web just like a human. By leveraging the browser-use library (v0.11+), it controls a full-featured Chromium browser, enabling complex multi-step interactions such as authenticating via OAuth, completing dynamic forms, and scraping data from JavaScript-heavy web applications. It serves as your primary tool for end-to-end web interaction where simple HTTP requests fail or require complex browser-based security checks.

Installation

You can integrate this skill into your OpenClaw environment using the following command: clawhub install openclaw/skills/skills/bowen31337/alex-browser-use Ensure your system is configured with uv for dependency management. Scripts must always be executed using uv run python script.py to maintain the correct environment and security context.

Use Cases

This skill is ideal for tasks requiring stateful sessions and visual context. Common use cases include:

• Automating sign-ups and registrations for web services.
• Scraping data from dashboards that require login or interactive filtering.
• Managing social media interactions or posting content where UI-based validation is required.
• Completing multi-page checkout or verification processes.
• Extracting structured information from sites protected by standard bot-detection mechanisms.

Example Prompts

1. "Go to the dashboard at example.com, login using the saved credentials, navigate to the reports tab, and export the Q1 data as a CSV."
2. "Search for the latest public filings for Acme Corp on the SEC EDGAR site and summarize the key risks mentioned in the recent 10-Q."
3. "Open the registration portal for the upcoming tech conference, fill out the form using my profile details, and let me know when you reach the payment confirmation page."

Tips & Limitations

To ensure success, you must adhere to the mandatory anti-detection rules. Always use stealth_session() to hide automation flags and spoof browser fingerprints. Avoid using standard fill methods; instead, emulate human typing with variable delays between keystrokes to bypass bot-detection algorithms. Never fetch pages via static HTTP if they require dynamic interaction, and prioritize direct navigation to action URLs to reduce the risk of detection. Note that this skill is not suitable for simple API calls or static data fetching; for those cases, use the native web_fetch skill to save resources.